PIC, a recently funded European ITN, is looking for 15 passionate and excellent candidates to become the innovation leaders in the vision of a Personalised In-silico Cardiology (PIC).
The PIC in silico models are virtual reconstructions of an individual, or avatars, used to evaluate current health status and therapy options. PIC fellows will build both mechanistic and statistical models from clinical data, enabling the extraction of biomarkers for better diagnosis and prognosis of the individual patient. These models are applied to maximise the value of clinical data to inform diagnosis, and to optimise clinical devices & drug choices to deliver a personalised therapy.
The project will train 15 innovation leaders, creating a unique opportunity for an exciting PhD programme coordinated among 10 academic, industrial and clinical institutions, and 9 more associated partners.
Further information at http://picnet.eu
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